A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Federal de São Carlos (UFSCar)
dc.date.accessioned2014-05-27T11:26:57Z
dc.date.available2014-05-27T11:26:57Z
dc.date.created2014-05-27T11:26:57Z
dc.date.issued2012-09-01
dc.identifierJournal of Statistical Planning and Inference, v. 142, n. 9, p. 2701-2709, 2012.
dc.identifier0378-3758
dc.identifierhttp://hdl.handle.net/11449/73527
dc.identifier10.1016/j.jspi.2012.03.021
dc.identifier2-s2.0-84860888754
dc.identifier0713984768583869
dc.description.abstractA Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual quality deterioration and allows the incorporation of an expert's opinion on the production process. Based on the number of inspections to be carried out until a defective item is found, the Bayesian operation for the distribution function that represents the increasing sequence of defective fractions during a cycle considering a mixture of Dirichlet processes as prior distribution is performed. Bayes estimates for relevant quantities are also obtained. © 2012 Elsevier B.V.
dc.languageeng
dc.relationJournal of Statistical Planning and Inference
dc.relation0.814
dc.relation1,226
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectBayesian estimation
dc.subjectBayesian operation
dc.subjectContinued quality deterioration
dc.subjectMixture of Dirichlet processes
dc.subjectTaguchi's procedure for attributes
dc.titleA Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
dc.typeArtículos de revistas


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